README.md

metadata

title: Code Complexity Predictor
emoji: 📉
colorFrom: blue
colorTo: yellow
sdk: docker
pinned: false
license: apache-2.0

⚙️ Code Complexity Predictor

An AI-powered web application that instantly predicts the Big-O Time Complexity of Python and Java code snippets using GraphCodeBERT.

🚀 Features

• Intelligent Analysis: Powered by Microsoft's GraphCodeBERT fine-tuned on the CodeParrot/CodeComplex dataset.
• Premium Interface: A stunning Glassmorphism dark-mode UI with syntax highlighting and micro-animations.
• Lightning Fast: Built on a lightweight FastAPI backend for near-instant inference.
• Cloud-Ready: Completely containerized with Docker, configured for automatic deploy on Render.com.

🛠️ Tech Stack

• Frontend: HTML5, Vector CSS (Vanilla), JavaScript, PrismJS
• Backend: Python, FastAPI, Uvicorn
• AI/ML: PyTorch, HuggingFace Transformers (GraphCodeBERT)
• Deployment: Docker, Render

💻 Running Locally

1. Install Dependencies

   pip install -r requirements.txt
   

2. Download Model files Ensure you have configured download_model.py with your Google Drive File ID, then run:

   python download_model.py
   

3. Start the Server

   uvicorn backend.main:app --host 0.0.0.0 --port 8000 --reload
   

4. Open the App Navigate to http://localhost:8000 in your web browser.

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Built with ❤️ for algorithmic analysis.